Sentence examples for model which controls from inspiring English sources

Column 4 presents results from the bivariate Tobit model, which controls for censoring in both equations.

As a base model, we create a model which controls for reported seasonal patterns in suicide occurrences and takes into account the most recent suicide statistics at our disposal.

My second specification is based on a fixed effects model, which controls for unobserved (time-constant) variables affecting both preferences and marriage decisions by taking the difference of observations in time periods before and after marriage for the same individual.

The infection model which controls the natural history of the disease is an extended SEIR-model (see Table 1 and Additional file 1: Figure S1).

One of the most important reasons for adopting the Matérn model is the inclusion of the parameter ν in the model, which controls the smoothness of the underlying random field.

Differences in demographic and medical characteristics between the intervention and control groups were minor and accounted for by the DD model which controls for time-invariant differences across groups.

With this framework, the best way to account for individual heterogeneity is to include a diverse array of individual covariates in the hazard model which control for individual characteristics as well as household characteristics.

In Model 6 and Model 7, the frequency and originality of individual sharing behavior have significant positive effects on centrality under the premise that the model which controlled the prior centrality (0.709, p < 0.001in Model 6; 0.688, p < 0.001 in Model 7).

Two years later, the international community agreed to phase out CFCs using a regulatory model which controlled both sources of production and consumption to cut CFCs.

On average, current PZP recipients gave birth 3.36 months later than did pre-contraception mares, according to our linear mixed effects model, which controlled for heterogeneity of variances, weather influences, and mare age (estimate = 3.36, SE = 0.51, t = 6.64, P<0.001; overall model: Likelihood ratio (compared to null model): 40.79, generalized r2 = 0.48, P<0.001).

The hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using the Cox model, which controlled for sociodemographic factors.